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NEURAL NETWORK MODEL FOR CALCULATING THE PRODUCTIVITY OF DRYING SUNFLOWER SEEDS IN A COMBINED DRUM

Safarov Elyorbek Khasanovich (Senior Lecturer (Phd), Andijan Machine-Building Institute, Uzbekistan, Andijan City, Uzbekistan)

The American Journal of Engineering and Technology · 05 · 2151-2158 · 2020

Аннотация

This article describes a neural network model for calculating the drying productivity of sunflower seeds in a combined drum dryer. Neural network modeling was performed in the Neural Networks Toolbox in Matlab. The adequacy of the constructed model to the experimental values was checked and compared. KEYWORDS Drying productivity, sunflower seeds, neural network modeling, drying process, Matlab system.

Доказательный фрагмент

«This article describes a neural network model for calculating the drying productivity of sunflower seeds in a combined drum dryer.»

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This article describes a neural network model for calculating the drying productivity of sunflower seeds in a combined drum dryer. Полный текст публикации CiteX не хранит — доступ к первоисточнику открывается по DOI согласно лицензии издателя и выбранному плану.

doi.org/10.37547/tajet/Volume05Issue11-10
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0
Тип
Журнал
Страна
Узбекистан
Ключевые слова
Drying productivity, sunflower seeds, neural network modeling, drying process, Matlab system, The installation angle of the picker in relation to the direction of movement, the movement speed of the unit, the diameter of the picker
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